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Complexity of AlgorithmsExplores algorithm complexity, analyzing efficiency and worst-case scenarios of sorting algorithms.
Computation & Algorithms IExplores algorithm complexity, time complexity estimation, Landau notations, and asymptotic behavior analysis.
Maximum Subarray ProblemCovers the Master method, maximum-subarray problem, and divide-and-conquer algorithmic paradigm.
Introduction to LogarithmCovers the introduction to logarithms, algorithmic notations, and analysis of algorithm travel times.
P vs NP: Complexity TheoryDelves into complexity theory, focusing on the P vs NP problem and the classification of computational problems based on efficiency.
Introduction to ComplexityIntroduces time complexity and worst-case analysis of algorithms, abstracting computational complexity from implementation details.
Introduction to ComplexityIntroduces time complexity and worst-case analysis of algorithms, abstracting computational complexity from implementation details.
Quantum Phase EstimationExplains the Quantum Phase Estimation (QPE) algorithm and its complexity using two registers and SWAP gates.
Dynamic Programming: KnapsackExplores dynamic programming for the Knapsack problem, discussing strategies, algorithms, NP-hardness, and time complexity analysis.